معرفی
Dr. Chunhu Shi is a Research Fellow at the University of Manchester's Division of Nursing, Midwifery and Social Work, contributing to the NIHR ARC GM Evaluation theme. He holds a PhD in applied health research and evidence synthesis, with expertise in advanced meta-analysis methods and systematic reviews. His work focuses on pressure ulcer prevention, prognosis research, and healthcare innovation evaluation. Shi is a Fellow of the Higher Education Academy (FHEA), an Associate Editor of the International Journal of Nursing Studies, and a member of the HTA Programme Funding Committee.
Education:
- Doctor of Philosophy (2015–2019), University of Manchester
- Master of Science (2012–2015), Lanzhou University
- Bachelor of Medicine (2007–2012), Lanzhou University
Research Interests: Applied health research emphasizes evidence synthesis methodologies like network meta-analysis and individual participant data analysis. His work bridges clinical practice and policy, particularly in pressure ulcer prevention and digital health innovations. He explores how meta-analytic techniques can address healthcare disparities, such as racial bias in medical devices.
Publications: His recent work spans mobile health app evaluations, virtual healthcare models, and delirium-falls associations in elderly populations. Notable contributions include systematic reviews on pulse oximetry accuracy and wound care technologies.
Recognition: Shi received the President's Doctoral Scholar Award (2019). His advisory roles include contributing to clinical practice guidelines on pressure ulcers and serving on panels for digital healthcare innovation.
Grants/Advising: Collaborations span global healthcare institutions. He leads projects on telemedicine efficacy and equity-focused meta-analyses, funded by NIHR and international bodies. No formal student supervision is listed, though he mentors early-career researchers through editorial and guideline activities.
Labs/Teams: Affiliated with the Manchester Precision Medicine Institute, focusing on data-driven healthcare solutions. Active in interdisciplinary networks for evidence-based practice and health equity research.
